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An Exponential Lower Bound on the Expected Complexity of Sphere Decoding
KTH, Superseded Departments (pre-2005), Signals, Sensors and Systems.ORCID iD: 0000-0001-6630-243X
KTH, Superseded Departments (pre-2005), Signals, Sensors and Systems.ORCID iD: 0000-0003-2298-6774
2004 (English)In: Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004, p. 393-396Conference paper, Published paper (Refereed)
Abstract [en]

The sphere decoding algorithm is an efficient algorithm used to solve the maximum likelihood detection problem in several digital communication systems. The sphere decoding algorithm has previously been claimed to have polynomial expected complexity. While it is true that the algorithm has an expected complexity comparable to that of other polynomial time algorithms for problems of moderate size it is a misconception that the expected number of operations asymptotically grow as a polynomial function of the problem size. In order to illustrate this point we derive an exponential lower bound on the expected complexity of the sphere decoder.

Place, publisher, year, edition, pages
2004. p. 393-396
Keywords [en]
Digital communication, Gaussian noise, MIMO, Maximum likelihood decoding, Maximum likelihood detection, Maximum likelihood estimation, Polynomials, Quadrature amplitude modulation, Sensor systems, Signal to noise ratio
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-63596DOI: 10.1109/ICASSP.2004.1326846ISI: 000222179500099Scopus ID: 2-s2.0-4544278544OAI: oai:DiVA.org:kth-63596DiVA, id: diva2:482435
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, CANADA, MAY 17-21, 2004
Note

QC 20120201

Available from: 2012-01-23 Created: 2012-01-23 Last updated: 2022-06-24Bibliographically approved

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Jaldén, JoakimOttersten, Björn

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf